Unipa-GPT: Large Language Models for university-oriented QA in Italian
This paper illustrates the architecture and training of Unipa-GPT, a chatbot relying on a Large Language Model, developed for assisting students in choosing a bachelor/master degree course at the University of Palermo. Unipa-GPT relies on gpt-3.5-turbo, it was presented in the context of the Europea...
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| Format: | Article |
| Language: | English |
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Accademia University Press
2024-12-01
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| Series: | IJCoL |
| Online Access: | https://journals.openedition.org/ijcol/1476 |
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| _version_ | 1849683400504377344 |
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| author | Irene Siragusa Roberto Pirrone |
| author_facet | Irene Siragusa Roberto Pirrone |
| author_sort | Irene Siragusa |
| collection | DOAJ |
| description | This paper illustrates the architecture and training of Unipa-GPT, a chatbot relying on a Large Language Model, developed for assisting students in choosing a bachelor/master degree course at the University of Palermo. Unipa-GPT relies on gpt-3.5-turbo, it was presented in the context of the European Researchers’ Night (SHARPER night). In our experiments we adopted both the Retrieval Augmented Generation (RAG) approach and fine-tuning to develop the system. The whole architecture of Unipa-GPT is presented, both the RAG and the fine-tuned systems are compared, and a brief discussion on their performance is reported. Further comparison with other Large Language Models and the experimental results during the SHARPER night are illustrated. Corpora and code are available on GitHub1. |
| format | Article |
| id | doaj-art-cddcfcf52d2047ce9d3f55e92a346f88 |
| institution | DOAJ |
| issn | 2499-4553 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Accademia University Press |
| record_format | Article |
| series | IJCoL |
| spelling | doaj-art-cddcfcf52d2047ce9d3f55e92a346f882025-08-20T03:23:52ZengAccademia University PressIJCoL2499-45532024-12-01102Unipa-GPT: Large Language Models for university-oriented QA in ItalianIrene SiragusaRoberto PirroneThis paper illustrates the architecture and training of Unipa-GPT, a chatbot relying on a Large Language Model, developed for assisting students in choosing a bachelor/master degree course at the University of Palermo. Unipa-GPT relies on gpt-3.5-turbo, it was presented in the context of the European Researchers’ Night (SHARPER night). In our experiments we adopted both the Retrieval Augmented Generation (RAG) approach and fine-tuning to develop the system. The whole architecture of Unipa-GPT is presented, both the RAG and the fine-tuned systems are compared, and a brief discussion on their performance is reported. Further comparison with other Large Language Models and the experimental results during the SHARPER night are illustrated. Corpora and code are available on GitHub1.https://journals.openedition.org/ijcol/1476 |
| spellingShingle | Irene Siragusa Roberto Pirrone Unipa-GPT: Large Language Models for university-oriented QA in Italian IJCoL |
| title | Unipa-GPT: Large Language Models for university-oriented QA in Italian |
| title_full | Unipa-GPT: Large Language Models for university-oriented QA in Italian |
| title_fullStr | Unipa-GPT: Large Language Models for university-oriented QA in Italian |
| title_full_unstemmed | Unipa-GPT: Large Language Models for university-oriented QA in Italian |
| title_short | Unipa-GPT: Large Language Models for university-oriented QA in Italian |
| title_sort | unipa gpt large language models for university oriented qa in italian |
| url | https://journals.openedition.org/ijcol/1476 |
| work_keys_str_mv | AT irenesiragusa unipagptlargelanguagemodelsforuniversityorientedqainitalian AT robertopirrone unipagptlargelanguagemodelsforuniversityorientedqainitalian |